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相关概念视频

Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

Design Example: Calculating Safe Diameter for Wind-Exposed Disc

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Assessing safety in wind-exposed installations is crucial to preventing potential failures. This example explores the calculation and design adjustments needed to mount a circular disc on a building facade, where wind forces are a primary concern. A 4-meter diameter disc was initially designed as an aesthetic feature facing winds at a velocity of 25 meters per second, with an air density of 1.25 kilograms per cubic meter. Given these conditions, the drag force on the disc was determined using...
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Distance Corrections01:15

Distance Corrections

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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Propagation Speed of Electromagnetic Waves01:30

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Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
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相关实验视频

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Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
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基于错误补偿的风速预测

Xuguo Jiao1,2, Daoyuan Zhang1, Xin Wang3

  • 1School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

本研究介绍了一种混合风速预测模型,使用自行回归移动平均值-支持向量回归 (ARMA-SVR) 和极端学习机器 (ELM) 错误校正. 这种新的方法通过改善风速预测来提高风力发电的准确性.

关键词:
自动回归移动平均线 (ARMA)极端学习机器 (ELM) 是一种极端学习机器.支持向量的回归 (SVR)错误补偿 错误补偿 错误补偿 错误补偿时间序列预测时间序列预测

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科学领域:

  • 可再生能源可再生能源是可再生能源.
  • 机器学习 机器学习
  • 时间序列分析时间序列分析

背景情况:

  • 精确的风速预测对于优化风能发电至关重要.
  • 现有的方法可能难以应对自然风速的动态波动.
  • 提高预测准确度可以提高风电场的效率和可靠性.

研究的目的:

  • 开发一种混合模型,用于准确的单变风速时间序列预测.
  • 为了改善计算成本和预测能力之间的平衡.
  • 为了弥补时间滞后,减少风速预测中的预测偏差.

主要方法:

  • 开发了一种混合自回归移动平均线支向量回归 (ARMA-SVR) 模型.
  • 根据ARMA的特性,确定了SVR训练的最佳历史数据点数.
  • 基于极端学习机器 (ELM) 的错误校正技术用于减少偏差.

主要成果:

  • 拟议的ARMA-SVR模型有效地利用历史数据进行预测.
  • 在ELM的错误纠正显著减少了预测和实际风速之间的偏差.
  • 使用真实风电场数据的验证研究证实了比传统方法更好的性能.

结论:

  • 带有ELM错误校正的混合ARMA-SVR提供了一个更准确的风速预测解决方案.
  • 这种方法可以提高风力发电的数量和质量.
  • 该方法为提高风电场运营效率提供了有价值的工具.